class_docstr: Abstract class for Functions. All the Functions in EvaDB will inherit from this.
  
  Load and initialize the machine learning model in the __init__.
class_docstr_tok: ["Abstract","class","for","Functions",".","All","the","Functions","in","EvaDB","will","inherit","from","this",".","Load","and","initialize","the","machine","learning","model","in","the","__init__","."]
docstr: Do necessary setup in here. Gets called automatically on initialization.
docstr_tok: ["Do","necessary","setup","in","here",".","Gets","called","automatically","on","initialization","."]
code: def setup(self, *args, **kwargs) -> None:
      """
      Do necessary setup in here. Gets called automatically on initialization.
      """
      pass
  
file_path: evadb/evadb/functions/abstract/abstract_function.py
imports: from abc import ABCMeta, abstractmethod
  from typing import List, Union
  import pandas
  from numpy.typing import ArrayLike
label_desc: Use image node_id 4 for calling the AbstractFunction obj's underlying member method code with example usage: obj.setup() without return types